[et_pb_section fb_built=”1″ fullwidth=”on” _builder_version=”4.16″ _module_preset=”default” locked=”off” global_colors_info=”{}”][et_pb_fullwidth_image src=”http:\/\/science.utm.my\/procscimath\/wp-content\/uploads\/sites\/605\/2020\/11\/proscimath_L_WB.png” title_text=”proscimath_L_WB” _builder_version=”4.16″ _module_preset=”default” width=”60%” module_alignment=”center” custom_padding=”0px|50px|0px|50px||” locked=”off” global_colors_info=”{}”][\/et_pb_fullwidth_image][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.16″ _module_preset=”default” custom_padding=”0px|||||” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_divider _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_divider][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.27.4″ _module_preset=”default” background_color=”#a8f7ce” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” background_color=”#FFFFFF” global_colors_info=”{}”]<\/p>\n
<\/strong><\/p>\n Guest Editors:<\/strong><\/p>\n ANATI ALI <\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_button button_url=”http:\/\/science.utm.my\/procscimath\/wp-content\/uploads\/sites\/605\/2025\/10\/1.-Front-page-Vol-30-2025.pdf%20″ url_new_window=”on” button_text=”FRONT PAGE” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_button][et_pb_button button_url=”http:\/\/science.utm.my\/procscimath\/wp-content\/uploads\/sites\/605\/2025\/10\/2.-Table-of-Content-Vol-30-2025.pdf” url_new_window=”on” button_text=”TABLE OF CONTENT” _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” custom_margin=”|auto|-47px|auto||” custom_padding=”4px|||||” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n TITLE<\/strong><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.16″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n Page<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n Demand Forecasting for Printed Wiring Boards (PWBs) In Electronics Manufacturing Using Machine Learning Neural Network Models<\/em><\/strong><\/p>\n Akmal Ridwan Noor Ilham<\/em> & Siti Rohani Mohd Nor<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 1-10<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Development Of Optical Character Recognition System For Handwritten Text Using Convolutional Neural Networks<\/em><\/strong><\/p>\n Ang Jia Ming & Hang See Pheng<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 11-20<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n A SEIR-Based Mathematical Model For Analyzing Online Game Addiction Dynamics<\/em><\/strong><\/p>\n Catherine Hii Yan Shin & Fuaada Mohd Siam<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 21-30<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Identifying Suitable Basis Functions for Functional Data Analysis of Relative Humidity in Malaysian States<\/em><\/strong><\/p>\n Chang Wei Yang & Muhammad Fauzee Hamdan<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 31-40<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Application of Brownian Motion in Analysing Palm Oil Price Fluctuation in Malaysia<\/em><\/strong><\/p>\n Chen Ai Lin & Arifah Bahar<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 41-50<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Optimisation of Electric Vehicle Charging Station Grid in Johor Bahru using Prim\u2019s Algorithm<\/em><\/strong><\/p>\n Chew Jia Xin & Wan Rohaizad Wan Ibrahim<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 51-60<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n A Comparative Time Series Analysis of Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM) and Prophet Models in Drift Detection<\/em><\/strong><\/p>\n Choong Sin Ping & Nur Arina Bazilah Binti Kamisan<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 61-70<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Stability and Bifurcation Analysis on the Predator Search Rate in a Prey-Predator System subjected to Holling Type II Functional Response<\/em><\/strong><\/p>\n Elleen Tee & Ang Tau Keong<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 71-79<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Optimization of Drug Inventory Management In Hospital Pharmacy<\/em><\/strong><\/p>\n Kayalvhili Sitrarasu, Zaitul Marlizawati Zainuddin & Badrisyah Idris<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 80-87<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Mathematical Modelling and Simulation of Invadopodia Formation During Cancer Cell Invasion in the Presence of Matrix Metalloproteinases Effect<\/em><\/strong><\/p>\n Lee Hong Yeng & Mohd Ariff Admon<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 88-94<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Application of the Capacitated Vehicle Routing Problem in the Retail Sector Using Tabu Search<\/em><\/strong><\/p>\n Leong Chi Yong & Wan Rohaizad Bin Wan Ibrahim<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 95-104<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Solving Route Planning in Food Delivery Based on Capacitated Vehicle Routing Problem Using Simulated Annealing<\/em><\/strong><\/p>\n Lim Qian Ru & Wan Rohaizad Wan Ibrahim<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 105-114<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Evaluating Control Strategies for Stray Dog Management Through Mathematical Modelling and Numerical Simulation<\/em><\/strong><\/p>\n Nurshuhaila Hartini & Shazirawati Mohd Puzi<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 115-121<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Simulation of Temperatures Used for Glove Production and Their Relationship with Water Usage of The Factory<\/em><\/strong><\/p>\n Nurul Aisyah Adnan & Taufiq Khairi Ahmad Khairuddin<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 122-130<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Emergency Route Optimization in Rural Areas using MST and Prim\u2019s <\/em><\/strong>Algorithm<\/em><\/strong><\/p>\n Puteri Darin Najihah R Azman & Amidora Idris<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 131-139<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Prediction of Weather Elements in The Eastern Region of Malaysia Based on Navier Stokes Equation<\/em><\/strong><\/p>\n Saidatul Husna & Anati Ali<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 140-147<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n On the Dynamics of B-Bistochastic Volterra Quadratic Stochastic Operators Defined on Lower Dimensional Simplex<\/em><\/strong><\/p>\n Silmi Hasna Afiqa M Nazaruddin & Azizi Rosli<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 148-152<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n The Application of Markov Chain Model to the Malaysian Labour Market<\/em><\/strong><\/p>\n Nor Safariah & Arifah Bahar<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 153-163<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Stability and Bifurcation Analysis in a Prey-Predator Model with Harvesting and Prey Refuge<\/em><\/strong><\/p>\n Siti Nurfarhanis Amiudin & Tau Keong Ang<\/em><\/p>\n <\/em>PAPER<\/a><\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” custom_margin=”3px|||||” global_colors_info=”{}”]<\/p>\n 164-173<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_4,1_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.4″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n Solving Fractional Order Logistic Model via Vieta-Lucas Polynomials<\/em><\/strong><\/p>\n
NORSYAHIDA ZULKIFLI
SITI MARIAM NORRULASHIKIN
ZAITON MAT ISA<\/p>\nDepartment of Mathematical Science, Faculty of Science, UTM\u00a0<\/span><\/h5>\n